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医学放射学：当前进展

Medical Radiology: Current Progress.

作者信息

Pepe Alessia, Crimì Filippo, Vernuccio Federica, Cabrelle Giulio, Lupi Amalia, Zanon Chiara, Gambato Sebastiano, Perazzolo Anna, Quaia Emilio

机构信息

Institute of Radiology, University Hospital of Padua-DIMED, Padua University Hospital, University of Padua, 35122 Padua, Italy.

Department of Radiology, University Hospital of Padua, 35128 Padua, Italy.

出版信息

Diagnostics (Basel). 2023 Jul 21;13(14):2439. doi: 10.3390/diagnostics13142439.

DOI:10.3390/diagnostics13142439
PMID:37510183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10378672/
Abstract

Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing radiological subspecialties. In this study, a compressive review was focused on addressing how and why CT and MR have gained a I class indication in most cardiovascular diseases, and the potential impact of tissue and functional characterization by CT photon counting, quantitative MR mapping, and 4-D flow. Regarding rectal imaging, advances in cancer imaging using diffusion-weighted MRI sequences for identifying residual disease after neoadjuvant chemoradiotherapy and [18F] FDG PET/MRI were provided for high-resolution anatomical and functional data in oncological patients. The results present a large overview of the approach to the imaging of diffuse and focal liver diseases by US elastography, contrast-enhanced US, quantitative MRI, and CT for patient risk stratification. Italy is currently riding the wave of these improvements. The development of large networks will be crucial to create high-quality databases for patient-centered precision medicine using artificial intelligence. Dedicated radiologists with specific training and a close relationship with the referring clinicians will be essential human factors.

摘要

近年来，由于上一代机器在图像采集、数据处理以及人工智能集成方面的进步，医学放射学在患者管理方面取得了显著进展。通过这种方式，心血管成像成为发展最快的放射学亚专业之一。在本研究中，进行了一次全面综述，重点探讨了CT和MR在大多数心血管疾病中获得I类适应症的方式和原因，以及CT光子计数、定量MR成像和四维血流成像在组织和功能特征分析方面的潜在影响。关于直肠成像，介绍了使用扩散加权MRI序列进行癌症成像的进展，用于识别新辅助放化疗后残留疾病，以及[18F]FDG PET/MRI为肿瘤患者提供高分辨率解剖和功能数据。结果全面概述了通过超声弹性成像、超声造影、定量MRI和CT对弥漫性和局灶性肝病进行成像以对患者进行风险分层的方法。意大利目前正处于这些进步的浪潮之中。大型网络的发展对于利用人工智能创建以患者为中心的精准医学高质量数据库至关重要。经过专门培训且与转诊临床医生关系密切的专业放射科医生将是至关重要的人为因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/2a9b647d2d21/diagnostics-13-02439-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/bff1110f83cc/diagnostics-13-02439-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/0db853e78a3f/diagnostics-13-02439-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/25771cbd637c/diagnostics-13-02439-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/130801deebad/diagnostics-13-02439-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/0050d1e63a47/diagnostics-13-02439-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/25843277acec/diagnostics-13-02439-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/f8643d104b03/diagnostics-13-02439-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/42661e0e2a47/diagnostics-13-02439-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/2a9b647d2d21/diagnostics-13-02439-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/bff1110f83cc/diagnostics-13-02439-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/0db853e78a3f/diagnostics-13-02439-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/25771cbd637c/diagnostics-13-02439-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/130801deebad/diagnostics-13-02439-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/0050d1e63a47/diagnostics-13-02439-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/25843277acec/diagnostics-13-02439-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/f8643d104b03/diagnostics-13-02439-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/42661e0e2a47/diagnostics-13-02439-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/910b/10378672/2a9b647d2d21/diagnostics-13-02439-g009.jpg

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